RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of the customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also builds the science platforms that measure the causal business impact of these fixes at scale.

As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art causal-inference and classical ML solutions to solve problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to causal impact measurement of CX defects and interventions, quasi-experimental design (Difference-in-Differences, Double Machine Learning), treatment/control construction, propensity and matching methods, econometric and structural models, uncertainty quantification,



and supervised and unsupervised learning applied to entitlement sizing, defect prioritization and impact validation across the Quasi Experimentation Platform (QEP).

Key job responsibilities
As a Senior Data Scientist, you will be responsible to design and deploy scalable causal-inference and classical ML solutions that measure the business impact of fixes affecting millions of customers and solve key customer experience issues. You will develop novel econometric, quasi-experimental and statistical techniques — Difference-in-Differences, Double Machine Learning (DR-DML, PLR-DML), synthetic control, matching and propensity methods, causal graphical models, pattern recognition, and anomaly detection. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML and causal models and progressively improve the results over time. You will partner with business and engineering teams

📌 Sr Data Scientist, RBS Tech (Bengaluru)
🏢 Amazon
📍 Bengaluru